Python Documentation-Python Doc Enhancer

Example

Given a class without a docstring, it will generate a comprehensive description including the class's purpose, methods, and usage.

Scenario

A developer has created a new Python class for handling API requests but hasn't added documentation. This GPT can automatically generate a detailed docstring for the class, explaining its purpose, how to initialize it, and detailing each method's responsibilities.

Example

It provides detailed docstrings for each field within a class, describing its type, purpose, and any constraints or special considerations.

Scenario

In an existing Python class representing a user, fields like 'name', 'email', and 'birthdate' lack descriptions. This GPT can add docstrings directly beneath these fields, improving the code's self-documentation and aiding future developers in understanding the class structure.

Example

Where necessary, it adds or updates type annotations for class fields and method parameters to ensure clear type expectations.

Scenario

A Python codebase is being refactored for better type checking and compliance with static analysis tools. This GPT can systematically review and update missing or incorrect type annotations, facilitating a smoother development process and reducing runtime errors.